Deep Recurrent Neural Networks and Optimization Meta-Heuristics for Green Urban Route Planning with Dynamic Traffic Estimates.
Ismael EstalayoEneko OsabaIbai LañaJavier Del SerPublished in: ITSC (2019)
Keyphrases
- recurrent neural networks
- route planning
- metaheuristic
- optimization problems
- road network
- combinatorial optimization
- urban areas
- echo state networks
- traffic congestion
- neural network
- transportation networks
- feed forward
- tabu search
- ant colony optimization
- simulated annealing
- travel time
- traffic conditions
- recurrent networks
- optimal solution
- genetic algorithm
- shortest path
- artificial neural networks
- evolutionary algorithm
- nature inspired
- search methods
- optimal path
- real time
- traveling salesman problem
- network traffic
- particle swarm optimization
- autonomous vehicles
- vehicle routing problem
- particle swarm optimization pso
- search space
- traffic signal
- dynamic environments